Unsupervised Polarimetric SAR Image Classification
Summary :
In this letter, the concept of cross-entropy is introduced for unsupervised polarimetric synthetic aperture radar (SAR) image classification. The difference between two scatterers is decomposed into three parts, i.e., the difference of average scattering characteristic, the difference of scattering randomness and the difference of scattering matrix span. All these three parts are expressed in cross-entropy formats. The minimum cross-entropy principle is adopted to make classification decision. It works well in unsupervised terrain classification with a NASA/JPL AIRSAR image.
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- IEICE TRANSACTIONS on Communications Vol.E87-B No.4 pp.1048-1052
- Publication Date
- 2004/04/01
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- Online ISSN
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- LETTER
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- Sensing
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Junyi XU, Jian YANG, Yingning PENG, Chao WANG, "Unsupervised Polarimetric SAR Image Classification" in IEICE TRANSACTIONS on Communications,
vol. E87-B, no. 4, pp. 1048-1052, April 2004, doi: .
Abstract: In this letter, the concept of cross-entropy is introduced for unsupervised polarimetric synthetic aperture radar (SAR) image classification. The difference between two scatterers is decomposed into three parts, i.e., the difference of average scattering characteristic, the difference of scattering randomness and the difference of scattering matrix span. All these three parts are expressed in cross-entropy formats. The minimum cross-entropy principle is adopted to make classification decision. It works well in unsupervised terrain classification with a NASA/JPL AIRSAR image.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e87-b_4_1048/_p
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@ARTICLE{e87-b_4_1048,
author={Junyi XU, Jian YANG, Yingning PENG, Chao WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Unsupervised Polarimetric SAR Image Classification},
year={2004},
volume={E87-B},
number={4},
pages={1048-1052},
abstract={In this letter, the concept of cross-entropy is introduced for unsupervised polarimetric synthetic aperture radar (SAR) image classification. The difference between two scatterers is decomposed into three parts, i.e., the difference of average scattering characteristic, the difference of scattering randomness and the difference of scattering matrix span. All these three parts are expressed in cross-entropy formats. The minimum cross-entropy principle is adopted to make classification decision. It works well in unsupervised terrain classification with a NASA/JPL AIRSAR image.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Unsupervised Polarimetric SAR Image Classification
T2 - IEICE TRANSACTIONS on Communications
SP - 1048
EP - 1052
AU - Junyi XU
AU - Jian YANG
AU - Yingning PENG
AU - Chao WANG
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2004
AB - In this letter, the concept of cross-entropy is introduced for unsupervised polarimetric synthetic aperture radar (SAR) image classification. The difference between two scatterers is decomposed into three parts, i.e., the difference of average scattering characteristic, the difference of scattering randomness and the difference of scattering matrix span. All these three parts are expressed in cross-entropy formats. The minimum cross-entropy principle is adopted to make classification decision. It works well in unsupervised terrain classification with a NASA/JPL AIRSAR image.
ER -
English
